The AutoVidGen blog
7 articles on how AI video is actually made and where it earns its place: prompting, narration, compression, tooling and the parts of a pipeline worth automating. Written to be useful whether or not you ever use our product, and every article says which of its claims have a shelf life.
Latest
Turn a Book Into a Video
Every AI video tool rewrites your story before it films it. Here is what it takes to keep an author's exact sentences, and where the approach runs out.
10 min readHow to Write an AI Video Prompt
A prompt for an AI video model is a shot description, not a wish. Here is the six-part structure that makes output repeatable, and how to fix a prompt that drifts.
12 min readMore from the blog
What YouTube Automation Tools Do
The phrase covers three unrelated things, one of which gets channels terminated. Here are the seven jobs in a channel pipeline and which are safe to automate.
9 min readWhy Video Looks Worse After Upload
Your export looks sharp and the uploaded version looks mushy. Here is what platform re-encoding actually does, and the export settings that survive it.
9 min readChoosing an AI Voice for Video
How to pick an AI voice generator for short-form video: what actually separates the engines, the licence terms that matter, and why the script fixes more than the voice does.
9 min readBuilding an AI Content Stack
Most creator AI stacks collapse in week five, not week one. How to assemble tools around the handoffs instead of the features, and what to cut.
9 min readUsing AI Video Across the Funnel
AI video is used almost entirely at the top of the funnel, which is where it performs worst. Where volume helps, where it hurts, and how to tell them apart.
8 min readLooking for reference rather than method?
The blog covers how things are done. The guides are the other half: what the platforms require, what a niche is worth, and what the current thresholds actually are, each with the date it was last checked.